{% extends "layout.html" %}

{% set title = _('Topic modelling for humans') %}

{% block header %}
    <div id="top">
      <div id="left"><h1 class="h1gensim"><img src="{{ pathto('_static/images/logo-gensim.png', 1) }}" alt="gensim" title="Gensim - topic modelling for humans" /></h1></div>

      <div id="middleright">
        <div id="middle">
          <div id="design_gensim"><a href="."><img src="{{ pathto('_static/images/gensim.png', 1) }}" alt="gensim" title="Gensim home" /></a></div>
          <div id="design_tagline"><img src="{{ pathto('_static/images/tagline.png', 1) }}" alt="gensim tagline" /></div>
        </div>

        <div id="right">
          <div id="design_download"><a href="https://pypi.python.org/pypi/gensim"><img src="{{ pathto('_static/images/download.png', 1) }}" alt="download" /></a></div>
          <div class="space10"></div>
          <div id="design_install"><div id="command">easy_install -U gensim</div></div>
        </div>

      </div>
    </div>
{% endblock %}


{% block document %}
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    <div>
      <a href="https://github.com/piskvorky/gensim/">
        <img style="position: absolute; top: 0; left: 0; border: 0;" src="{{ pathto('_static/images/forkme_left_white_ffffff.png', 1) }}" alt="Fork me on GitHub" />
      </a>
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    </div>

    <div id="design_banner">
      <div id="bodybanner">

        <div class="leftbanner">
          <img src="{{ pathto('_static/images/gensim_code.png', 1) }}" alt="gensim code example" />
        </div>

        <div class="rightbanner">
          <span class="h2gensim">Gensim is a FREE Python library</span>
          <ul class="description">
            <li>Scalable statistical semantics</li>
            <li>Analyze plain-text documents for semantic structure</li>
            <li>Retrieve semantically similar documents</li>
          </ul>
        </div>
      </div>
    </div>

    <div class="podklad">
      <div class="podkladwrapper">
        <h3 class="h3gensim">Features<div class="more-info">Hover your mouse over each feature for more info.</div></h3>

        <div class="half1">
          <div class="lefthalf1">
            <div class="quarter1">
              <img src="{{ pathto('_static/images/features/memory_independence.png', 1) }}" alt="memory independence" /><a class="feature" href="#" title="Gensim can process large, web-scale corpora, using incremental online training algorithms. There is no need for the whole input corpus to reside fully in RAM at any one time.">Scalability</a>
            </div>
            <div class="quarter2">
              <img src="{{ pathto('_static/images/features/efficient_implementations.png', 1) }}" alt="efficient implementations" /><a class="feature" href="#" title="The core algorithms in gensim use highly optimized math routines. Gensim also contains a distributed version of several algorithms, intended to speed up processing and retrieval on machine clusters.">Efficient implementations</a>
            </div>
          </div>
          <div class="lefthalf2">
            <div class="quarter1">
              <img src="{{ pathto('_static/images/features/platform_independence.png', 1) }}" alt="platform independent" /><a class="feature" href="#" title="Being pure Python, gensim runs on Linux, Windows and OS X, as well as any other platform that supports Python and NumPy.">Platform independent</a>
            </div>
            <div class="quarter2">
              <img src="{{ pathto('_static/images/features/converters.png', 1) }}" alt="converters and wrappers" /><a class="feature" href="#" title="Gensim contains memory-efficient implementations to several popular data formats: Matrix Market, SVMlight, Blei's LDA-C... These can be used for input, output, or to convert between one another.">Converters &amp; I/O formats</a>
            </div>
          </div>
        </div>

        <div class="half2">
          <div class="lefthalf1">
            <div class="quarter4">
              <img src="{{ pathto('_static/images/features/robust.png', 1) }}" alt="robust" /><a class="feature" href="#" title="Gensim has been in use in various systems by various people and organizations for over 4 years. It's well past the initial “look mom, I published a script“ stage of open-source projects.">Robust</a>
            </div>
            <div class="quarter3">
              <img src="{{ pathto('_static/images/features/similarity_queries.png', 1) }}" alt="similarity queries" /><a class="feature" href="#" title="As a natural next step to topic modelling, gensim also contains code for fast indexing of documents in their semantic representation, and retrieval of topically similar documents.">Similarity queries</a>
            </div>
          </div>
          <div class="lefthalf2">
            <div class="quarter3">
              <img src="{{ pathto('_static/images/features/free_lgpl.png', 1) }}" alt="open source" /><a class="feature" href="#" title="The GNU LGPL license allows both personal and commercial use, provided any modifications to gensim itself are in turn open-sourced. Other modes (dual licensing) are also possible.">Open source</a>
            </div>
            <div class="quarter3">
              <img src="{{ pathto('_static/images/features/support.png', 1) }}" alt="support" /><a class="feature" href="#" title="Gensim is supported and maintained by means of community effort. See the support page for information on using the mailing list, tutorials, FAQ, code hosting and instructions for contributors.">Support</a>
            </div>
          </div>
        </div>

        <div class="clearit"></div>
      </div>
    </div>

    <div class="podklad">
      <div class="podkladwrapper" id="testimonials">
        <h3 class="h3gensim">Who is using Gensim?<div class="more-info">Doing something interesting with gensim? Ask to be featured here.</div></h3>

        <div class="center">
          <ul id="slider_testimonials" class="reference">
            <li><div class="reference9 testimonial">
              “Here at Tailwind, we use Gensim to help our customers post interesting and relevant content to Pinterest. No fuss, no muss. Just fast, scalable language processing.” <span class="testimonial-author">Waylon Flinn, <a href="http://tailwindapp.com">Tailwind</a></span>
            </div></li>
            <li><div class="reference8 testimonial">
              “We are using gensim every day. Over 15 thousand times per day to be precise. Gensim’s LDA module lies at the very core of the analysis we perform on each uploaded publication to figure out what it’s all about. It simply works.” <span class="testimonial-author">Andrius Butkus, <a href="http://issuu.com/">Issuu</a></span>
            </div></li>
            <li><div class="reference2 testimonial">
              “Gensim hits the sweetest spot of being a simple yet powerful way to access some incredibly complex NLP goodness.” <span class="testimonial-author">Alan J. Salmoni, <a href="http://roistr.com/">Roistr.com</a></span>
            </div></li>
            <li><div class="reference1 testimonial">
              “I used gensim at Ghent university. I found it easy to build prototypes with various models, extend it with additional features and gain empirical insights quickly. It's a reliable library that can be used beyond prototyping too.” <span class="testimonial-author"><a href="http://dieter.plaetinck.be/">Dieter Plaetinck</a>, <a href="http://www.ibcn.intec.ugent.be/">IBCN group</a></span>
            </div></li>
            <li><div class="reference3 testimonial">
              “We used gensim in several text mining projects at Sports Authority. The data were from free-form text fields in customer surveys, as well as social media sources. Having gensim significantly sped our time to development, and it is still my go-to package for topic modeling with large retail data sets.” <span class="testimonial-author">Josh Hemann, <a href="http://www.sportsauthority.com/home/index.jsp">Sports Authority</a></span>
            </div></li>
            <li><div class="reference4 testimonial">
              “Semantic analysis is a hot topic in online marketing, but there are few products on the market that are truly powerful.
Gensim is undoubtedly one of the best frameworks that efficiently implement algorithms for statistical analysis.
Few products, even commercial, have this level of quality.” <span class="testimonial-author">Bruno Champion, <a href="http://www.dynadmic.com/">DynAdmic</a></span>
            </div></li>
<!--             <li><div class="reference5 testimonial">
              “Gensim provides powerful and efficient tools for semantic similarity
and topic modelling behind a consistent, idiomatic, well-thought-out,
and well-documented API. It's an excellent example of what a
programming library should be, in Python or in any language.” <span class="testimonial-author"><a href="http://williamjohnbert.com/">William Bert</a></span>
            </div></li>
-->
            <li><div class="reference6 testimonial">
              “Based on our experience with gensim on <a href="http://dml.cz">DML-CZ</a>, we naturally opted to use it on a much bigger scale for similarity
of fulltexts of scientific papers in the European Digital Mathematics Library. In evaluation with other approaches, gensim became a clear winner, especially because of speed, scalability and ease of use.”<span class="testimonial-author">Petr Sojka, <a href="https://eudml.org/">EuDML</a></span>
            </div></li>
            <li><div class="reference7 testimonial">
              “We have been using gensim in several DTU courses related to digital media engineering and find it immensely useful as the tutorial material provides students an excellent introduction to quickly understand the underlying principles in topic modeling based on both LSA and LDA.”<span class="testimonial-author"><a href="http://milab.imm.dtu.dk/people/michael_kai_petersen">Michael Kai Petersen</a>, <a href="http://www.dtu.dk/English/education/MSc_Programs/Digital%20Media%20Engineering.aspx">Technical University of Denmark</a></span>
            </div></li>

          </ul>
        </div>

        <div class="clearit"></div>
      </div>
    </div>

    <div class="getstarted">
      <a href="{{ pathto('intro') }}"><img src="{{ pathto('_static/images/get-started.png', 1) }}" alt="get started" /></a>
    </div>
{% endblock %}
